package com.example.gulimall.search.service.impl;

import com.example.common.to.es.SkuEsModel;
import com.example.gulimall.search.config.GulimallElasticSearchConfig;
import com.example.gulimall.search.constant.EsConstant;
import com.example.gulimall.search.feign.ProductFeignService;
import com.example.gulimall.search.service.MallSearchService;
import com.example.gulimall.search.vo.*;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.example.common.utils.R;
import com.example.gulimall.search.config.GulimallElasticSearchConfig;
import com.example.gulimall.search.constant.EsConstant;
import com.example.gulimall.search.service.MallSearchService;
import com.example.gulimall.search.vo.SearchParam;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.TotalHits;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.AggregatorFactories;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import javax.annotation.Resource;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {
    @Autowired
    private RestHighLevelClient client;
    @Autowired
    private ProductFeignService productFeignService;
    @Override
    public SearchResult search(SearchParam param) {
    // 动态构建出查询所需要的DSL语句
        SearchResult result=null;
        //准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            // 2 执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
            // 3 分析效应数据封装成我们需要的数据
            result=buildSearchResult(response,param);
        }catch (Exception e){
            e.printStackTrace();
        }

        return result;
    }
    /**
     * 构建结果数据
     * @param response
     */

    private SearchResult  buildSearchResult(SearchResponse response,SearchParam param) {

        SearchResult result = new SearchResult();
        //1 返回所有查询道到的商品
        List<SkuEsModel> esModels=new ArrayList<>();
        SearchHits hits = response.getHits();

        if (hits.getHits()!=null&&hits.getHits().length>0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();

                SkuEsModel skuEsModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                //是否设置高亮
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String s = skuTitle.getFragments()[0].toString();
                    skuEsModel.setSkuTitle(s);

                }
                esModels.add(skuEsModel);
            }
        }
        result.setProduct(esModels);


        //2 当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos=new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo=new SearchResult.AttrVo();
            //得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            //得到属性的名字
            ParsedStringTerms attr_name_agg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attr_name_agg.getBuckets().get(0).getKeyAsString();



            //得到属性的value
            ParsedStringTerms attr_value_agg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attr_value_agg.getBuckets().stream().map(item -> {
                String attrValue = item.getKeyAsString();
                return attrValue;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }

        result.setAttrs(attrVos);

        //3当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos=new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo=new SearchResult.BrandVo();
            //得到品牌id
            Long brandId = bucket.getKeyAsNumber().longValue();

            //2得到品牌的名字
            ParsedStringTerms brand_name_agg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brand_name_agg.getBuckets().get(0).getKeyAsString();

            //3 得到品牌的图片
            ParsedStringTerms brand_img_agg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brand_img_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);

        }
        result.setBrands(brandVos);
        //4当前所有商品涉及到的所有分类信息
        //==================以上聚合信息中获取===========
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos=new ArrayList<>();
        for (Terms.Bucket bucket : catalog_agg.getBuckets()) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            //得到分类id
            catalogVo.setCatalogId(Long.parseLong( keyAsString));
            //分到分类名字
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //5分页信息，当前页码
        result.setPageNum(param.getPageNum());

        //6分页信息，总记录数\
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //7 分页信息总页码
        int totalPages = (int)total  % EsConstant.PRODUCT_PAGESIZE == 0 ?
                (int)total / EsConstant.PRODUCT_PAGESIZE : ((int)total / EsConstant.PRODUCT_PAGESIZE + 1);
        result.setTotalPages(totalPages);
        List<Integer> pageNavs=new ArrayList<>();
        for (int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);
        //构建面包屑导航功能

       if (!StringUtils.isEmpty(param.getAttrs())){
           // 1分析每个attrs传过来的查询参数值
           List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
               SearchResult.NavVo navVo = new SearchResult.NavVo();
               String[] s = attr.split("_");
               navVo.setNavValue(s[1]);
               R r = productFeignService.getAttrsInfo(Long.parseLong(s[0]));
               result.getAttrIds().add(Long.parseLong(s[0]));
               if (r.getCode() == 0) {
                   AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {

                   });
                   navVo.setNavName(data.getAttrName());
               }else {
                   navVo.setNavName(s[0]);
               }
               //2 取消了这个面包屑以后，我们要跳转到哪个地方，将请求地址的url里面的当前条件清空
               String replace = replaceQueryString(param, attr, "attrs");
               navVo.setLink("http://search.mall.com/list.html?"+replace);
               return navVo;
           }).collect(Collectors.toList());
           result.setNavs(collect);
       }
        // 品牌，分类
        if (param.getBrandId()!=null&&param.getBrandId().size()>0){
            List<SearchResult.NavVo>navVos=result.getNavs();
            SearchResult.NavVo navVo=new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //TODO 远程查询所有
            R r = productFeignService.getBrandsInfo(param.getBrandId());
            if (r.getCode()==0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer=new StringBuffer();
                String replace="";
                for (BrandVo item : brand) {
                    buffer.append(item.getName()+";");
                    replace = replaceQueryString(param, item.getBrandId()+"", "brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.mall.com/list.html?"+replace);
            }
            navVos.add(navVo);
            result.setNavs(navVos);
        }

        // TODO 不需要导航取消
        return result;

    }

    private String replaceQueryString(SearchParam param, String value, String key) {
        String encode=null;
        try {
            encode= URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");//浏览器对空格编码和java不一样
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
     return param.get_queryString().replace("&"+key+"=" + encode, "");

    }


    /**
     * 准备检索请求
     * @return
     * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构建检索语句
        /**
         * 1 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())){
            String keyword=param.getKeyword();
            boolQuery.must(QueryBuilders.matchQuery("skuTitle",keyword));
        }
        // 1.2过滤
        if (param.getCatalog3Id()!=null){
            //1.2.1根据三级分类
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id().toString()));

        }
        if (param.getBrandId()!=null&&param.getBrandId().size()>0){
            //1.2.2根据品牌id
            boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));

        }
            //1.2.3根据是否有库存
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
        if (!StringUtils.isEmpty(param.getSkuPrice())){
            //根据价格区间 三种情况1_500 _500 500_
            // 1_500 1到500区间
            //_500,500以下区间
            // 500_ ，500以上区间
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length==2){
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if (s.length==1){
                if (param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }


        //1.2.4 按照属性查询
        if (param.getAttrs()!=null&&param.getAttrs().size()>0){

            for (String attrStr : param.getAttrs()) {
                // attrStr=1_5存：8存&attrStr=2——16G:8G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s1 = attrStr.split("_");
                String attrId = s1[0]; //检索的属性id
                String[] attrValues=s1[1].split(":"); //检索属性的检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));// 每一个都要生成nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }
        //封装所有查询条件
        sourceBuilder.query(boolQuery);

        /**
         * 2排序，分页，高亮，聚合分析
         */
        //2.1 排序
        if (!StringUtils.isEmpty(param.getSort())){
            //Sort=hostScore_asc/desc
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order=s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            sourceBuilder.sort(s[0],order);
        }
        //2.2 分页
        sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        //2.3 高亮
        if (!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");
            sourceBuilder.highlighter(highlightBuilder);
        }

        //2.4 聚合分析
        //2.4.1 品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg").field("brandId").size(50);
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
       //  TODO 1 聚合brand
        sourceBuilder.aggregation(brand_agg);

        //分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(10);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
       // TODO 2  聚合catalog
        sourceBuilder.aggregation(catalog_agg);

        //属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合当前所有的attr_id

        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合出当前attr_id对应的value值
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        //将两个子聚合放到大聚合里面
          attr_agg.subAggregation(attr_id_agg);
          //TODO 3 聚合attr
        sourceBuilder.aggregation(attr_agg);

        System.out.println("构建的DSL语句："+sourceBuilder.toString());
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX},sourceBuilder);
        return  searchRequest;


    }





}
